基于机器视觉的矿井人员安全检测系统  

Mine Personnel Safety Detection System Based on Machine Vision

作　　者：白莹 BAI Ying(Henan Pingbao Coal Industry Co.,Ltd.)

机构地区：[1]河南平宝煤业有限公司

出　　处：《现代矿业》2023年第8期176-179,共4页Modern Mining

摘　　要：矿井作业环境复杂,人员安全问题一直是矿山生产中的难点。针对传统安全检测设备存在视野盲区、检测延时等问题,提出一种基于机器视觉的矿井下人员安全检测系统。该系统采用计算机视觉、FasterR-CNN目标检测算法等前沿技术,通过智能摄像头实时监控工作区域,对矿工的行为进行实时识别和分析,并对异常情况进行自动报警。实测表明,该系统安装简便、准确率高、鲁棒性强,能够有效降低人员伤害和财产损失风险,具有较好的推广应用价值。The mine working environment is complex,and the safety of personnel has always been a difficult problem in mine production.Aiming at the problems of blind area of vision and detection delay in tra-ditional safety detection equipment,a mine personnel safety detection system based on machine vision is proposed.The system adopts cutting-edge technologies such as computer vision and Faster R-CNN target de-tection algorithm,monitors the working area in real time through intelligent cameras,identifies and analyz-es the behavior of miners in real time,and automatically alarms for abnormal situations.The actual measure-ment shows that the system is easy to install,has high accuracy and strong robustness,can effectively re-duce the risk of personnel injury and property loss,and has good application value.

关 键 词：机器视觉 智慧矿山 目标检测 深度学习 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TD76[自动化与计算机技术—计算机科学与技术]